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of funding. POSITION SPECIFICS Postdoctoral Research Opportunity in Artificial Intelligence and Automated Vehicles Larson Transportation Institute, College of Engineering, Pennsylvania State University
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related field; experience with fMRI experimental design and analysis is not required but highly desired; a strong mathematical/programming skill is highly desired; and a track record of research
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molecular biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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many other units including Biology, Chemistry, Mathematics and the Brody School of Medicine, as well as at other institutions. Physics is not the easiest field of study within the University, but
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; environmental science; statistics; mathematics; data science; data visualization; documentation; records management; complex problem solving; critical thinking; resource management; communication; community
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Science, Statistics, Mathematics, Computer Science, or a closely related field. Demonstrated expertise working with multivariate time-series and spatiotemporal datasets. Advanced proficiency in Python
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714.509.6094 Department: https://recruit.ap.uci.edu/JPF09063 Qualifications Basic qualifications (required at time of application) PhD in electrical or biomedical engineering, medical physics, computer science
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, Computer Engineering, Artificial Intelligence, or a related field. A prior postdoctoral research experience is preferred Accompanying Knowledge, Skills, Abilities, and Competencies Strong mathematical
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advance the use of mathematical and statistical models of infectious disease transmission as tools for anticipating and addressing socioeconomic and geographic inequalities in infectious disease morbidity